Tool
R
A language built specifically for statistics
Learn R's vectors, data frames, and statistical functions.
8
Chapters
17
Hours (estimated)
1
Self-paced
Part-time
About 6 weeks
1 hour a day, 3 days a week
Full-time
About 2 weeks
3 hours a day, 3 days a week
Estimated from 8 chapters (notes, practice, labs, quiz, exercise, and challenge) plus the final exam. Go at your own pace.
Curriculum
8 chapters, each with a tutorial, a live example, a quiz, an exercise, a challenge, and class practice.
- 1
Introduction to R
Vectors, and R's statistics-first design.
- 2
Vectors & Data Types
Numeric, character, and logical vectors.
- 3
Data Frames
R's table-like structure for real datasets.
- 4
Control Flow
if/else and for/while loops in R.
- 5
Functions
Defining reusable functions in R.
- 6
ggplot2 Basics
Building layered, grammar-of-graphics plots.
- 7
dplyr Basics
filter, select, mutate, and pipe syntax.
- 8
Statistical Functions
Distributions, tests, and summary statistics.
R is free to study, self-paced. Pass the final exam to earn an optional Certificate of Completion for $40.